1.2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Harbin Institute of TechnologyCN82 papers
- Nanjing University of Aeronautics and AstronauticsCN59 papers
- Northwestern Polytechnical UniversityCN38 papers
- Beihang UniversityCN36 papers
- Centre National de la Recherche ScientifiqueFR27 papers
- Laboratoire Charles CoulombFR23 papers
- Institut Universitaire de FranceFR22 papers
- Université de MontpellierFR22 papers
- Chinese Academy of SciencesCN20 papers
- Shanxi UniversityCN15 papers
- Beijing Institute of TechnologyCN13 papers
- University of Chinese Academy of SciencesCN12 papers
255 papers
Predicting Multi-Order Magnetic Polariton Resonances for Radiative Properties Tailoring by Distributed Circuit Model
Hangjie Li, Junming Zhao
Surface plasmon polaritons (SPPs) and magnetic polaritons (MPs) are fundamental resonance modes that are widely used to tailor the thermal radiation properties of micro/nanostructu…
A hidden ultra-relativistic spine in the jet of a neutrino-associated blazar
Y. Y. Kovalev, F. Eppel, D. C. Homan +16
Supermassive black holes launch powerful jets of plasma that can accelerate particles to extreme energies, but the physical conditions required to produce high-energy neutrinos rem…
Decoupling Spatio-Temporal Adapter for Fine-Grained Badminton Action Localization
Tianyu Wang, Junjie Wu, Jingquan Gao +1
Temporal Action Localization (TAL) has been extensively studied in generic video understanding, while fine-grained sports scenarios, such as professional badminton, remain underexp…
Constraints on non-canonical chaotic inflation from ACT DR6 and BICEP/Keck data
Wei Yang, Chen-Hao Wu, Ya-Peng Hu
In this study, we precisely evaluated the feasibility of the chaotic inflation model within a non-canonical kinetic framework. By applying the slow-roll approximation and imposing…
Probabilistic data quality assessment for structural monitoring data via outlier-resistant conditional diffusion model
Qi Li, Yong Huang, Hui Li
Data quality assessment is an essential step that ensures the reliability of the subsequent structural health monitoring (SHM) tasks. This study proposes a prediction deviation-bas…
Probabilistic Graphical Model using Graph Neural Networks for Bayesian Inversion of Discrete Structural Component States
Teng Li, Stephen Wu, Yong Huang +2
The health condition of components in civil infrastructures can be described by various discrete states according to their performance degradation. Inferring these states from meas…
Adaptive Meta-Learning Stochastic Gradient Hamiltonian Monte Carlo Simulation for Bayesian Updating of Structural Dynamic Models
Xianghao Meng, James L. Beck, Yong Huang +1
In the last few decades, Markov chain Monte Carlo (MCMC) methods have been widely applied to Bayesian updating of structural dynamic models in the field of structural health monito…
Learning to traverse convective flows at moderate to high Rayleigh numbers
Ao Xu, Hua-Lin Wu, Ben-Rui Xu +1
We study the navigation of a self-propelled inertial particle in two-dimensional Rayleigh-Bénard convection at Prandtl number and cell aspect ratio for Rayleigh num…
Ultralow radiative heat flux by Anderson localization in quasiperiodic plasmonic chains
Yizhi Hu, Kun Yan, Wei-Hua Xiao +1
Anderson localization, arising from wave interference in disordered systems, profoundly hinders energy transport, yet its impact on radiative heat flux in many-body thermophotonic…
Solar active region scaling laws revisited
Guilherme A. L. Nogueira, Robertus Erdelyi, Ruihui Wang +1
The systematic variation of solar active region (AR) properties with their magnetic flux has been the subject of numerous studies but the proposed scaling laws still vary rather wi…
Weyl Mutations in Quiver Yangians
Dmitry Galakhov, Alexei Gavshin, Alexei Morozov
The problem of solving non-linear equations would be considerably simplified by a possibility to convert known solutions into the new ones. This could seem an element of art, but i…
Constraining the outer boundary condition for the Babcock-Leighton dynamo models
Yukun Luo, Jie Jiang, Binghang Li +2
The evolution of the Sun's large-scale surface magnetic field is well captured by surface flux transport models, which can therefore provide a natural constraint on the outer bound…
Prediction of the Solar Polar Fields in 2026: An Unusually Weak Level Across the Last Five Solar Cycles
Ruihui Wang, Jie Jiang, Yukun Luo
Solar polar fields are essential for the solar cycle and the heliospheric magnetic field. Cycle 25 is now entering its declining phase, the critical period during which most of the…
BlockSDN: Towards a High-Performance Blockchain via Software-Defined Cross Networking optimization
Wenyang Jia, Jingjing Wang, Ziwei Yan +2
The scalability of blockchain systems is constrained by inefficient P2P broadcasting, as most existing optimizations focus only on the logical layer without considering physical ne…
Towards mixed phase correlators in monomial matrix models
A. Popolitov
Correlators in monomial Hermitian matrix model strongly depend on the choice of eigenvalue integration contours. We express Schur correlator in case of several different integratio…
Crystal Orientation Dependence of Extreme Near-Field Heat Transfer between Polar Materials Governed by Surface Phonon Modes
Wei-Zhe Yuan, Yangyu Guo, Hong-Liang Yi
Due to the rapid development of micro- and nano-manufacturing and electronic devices, heat transfer at the transition regime between radiation and conduction becomes increasingly i…
Super-resolution reconstruction of turbulent flows from a single Lagrangian trajectory
Hua-Lin Wu, Ao Xu, Heng-Dong Xi
We studied the reconstruction of turbulent flow fields from trajectory data recorded by actively migrating Lagrangian agents. We propose a deep-learning model, track-to-flow (T2F),…
Emergence of quantum spin liquid and spin-flop phase in Kitaev antiferromagnets in a [111] magnetic field
Shuai Liu, Hao Wu, Jinbin Li +2
Kitaev magnets have emerged as pivotal systems for investigating frustrated magnetism, providing a unique platform to explore quantum phases governed by the interplay between bond-…
Spectrum Cognition: Semantic Situation for Next-Generation Spectrum Management
Hao Zhang, Fuhui Zhou, Qihui Wuand Chau Yuen
In response to the growing complexity and demands of future wireless communication networks, spectrum cognition has emerged as an essential technique for optimizing spectrum utiliz…
An Efficient and Adaptive Framework for Achieving Underwater High-performance Maintenance Networks
Yu Gou, Tong Zhang, Jun Liu +2
With the development of space-air-ground-aqua integrated networks (SAGAIN), high-speed and reliable network services are accessible at any time and any location. However, the long…
Non-commutative creation operators for symmetric polynomials
A. Mironov, A. Morozov
We reconsider in modern terms the old discovery by A. Kirillov and M. Noumi, who devised peculiar operators adding columns to Young diagrams enumerating the Schur, Jack and Macdona…
Operator lift of Reshetikhin-Turaev formalism to Khovanov-Rozansky TQFTs
Dmitry Galakhov, Elena Lanina, Alexei Morozov
Topological quantum field theory (TQFT) is a powerful tool to describe homologies, which normally involve complexes and a variety of maps/morphisms, what makes a functional integra…
Federated Learning in Active STARS-Aided Uplink Networks
Xinwei Yue, Xinning Guo, Xidong Mu +4
Active simultaneously transmitting and reflecting surfaces (ASTARS) have attracted growing research interest due to its ability to alleviate multiplicative fading and reshape the e…
Learning-based Privacy-Preserving Graph Publishing Against Sensitive Link Inference Attacks
Yucheng Wu, Yuncong Yang, Xiao Han +2
Publishing graph data is widely desired to enable a variety of structural analyses and downstream tasks. However, it also potentially poses severe privacy leakage, as attackers may…